Job Overview

OpenAI is seeking a Site Reliability Engineer to join the Frontier Systems team, responsible for building, launching, and supporting the largest supercomputers in the world used for cutting-edge model training.

Key Responsibilities

• Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management


• Build software abstractions that unify multiple clusters and present a seamless interface to training workloads


• Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale


• Improve operational metrics such as reducing cluster restart times and accelerating firmware or OS upgrade cycles


• Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure


• Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load

Required Qualifications

• Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments


• Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads


• Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations


• Bonus: background with GPU workloads, firmware management, or high-performance computing

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of AI capabilities and seek to safely deploy them through our products.

Benefits

Medical, dental, and vision insurance, 401(k) retirement plan with employer match, paid parental leave, flexible PTO, 13+ paid company holidays, mental health and wellness support, annual learning and development stipend, daily meals, and relocation support.